Feature-Based Non-rigid Registration of Serial Section Images by Blending Rigid Transformations

2017 ◽  
Author(s):  
Takehiro Kajihara ◽  
Takuya Funatomi ◽  
Hiroyuki Kubo ◽  
Takahito Aoto ◽  
Haruyuki Makishima ◽  
...  
Keyword(s):  
Serial Section ◽  
Rigid Registration ◽  
Feature Based ◽  
Rigid Transformations

Feature-based multibody rigid registration of CT and ultrasound images of lumbar spine

2012 ◽  
Vol 39 (6Part1) ◽  
pp. 3154-3166 ◽  
Author(s):  
Abtin Rasoulian ◽  
Purang Abolmaesumi ◽  
Parvin Mousavi
Keyword(s):  
Lumbar Spine ◽  
Ultrasound Images ◽  
Rigid Registration ◽  
Feature Based

scholarly journals Feature-based piecewise rigid registration in 2-D medical images

2012 ◽  
Author(s):  
Dirk Smeets ◽  
Johannes Keustermans ◽  
Jeroen Hermans ◽  
Dirk Vandermeulen ◽  
Paul Suetens
Keyword(s):  
Medical Images ◽  
Rigid Registration ◽  
Feature Based

scholarly journals Feature-based Non-rigid Registration between Pre- and Post-Contrast Lung CT Images

2011 ◽  
Vol 32 (3) ◽  
pp. 237-244
Author(s):  
Hyun-Joon Lee ◽  
Young-Taek Hong ◽  
Hack-Joon Shim ◽  
Dong-Jin Kwon ◽  
Il-Dong Yun ◽  
...  
Keyword(s):  
Ct Images ◽  
Post Contrast ◽  
Rigid Registration ◽  
Feature Based ◽  
Lung Ct

TH-D-213A-07: A Novel Inverse-Consistent Feature-Based Non-Rigid Registration Method That Improves the Mapping of Organs with Large-Scale Deformations

2009 ◽  
Vol 36 (6Part28) ◽  
pp. 2822-2822
Author(s):  
M Bondar ◽  
M Hoogeman ◽  
E Vasquez Osorio ◽  
G Dhawtal ◽  
J Mens ◽  
...  
Keyword(s):  
Large Scale ◽  
Registration Method ◽  
Rigid Registration ◽  
Feature Based ◽  
Consistent Feature

scholarly journals A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues

2020 ◽  
Vol 10 (3) ◽  
pp. 1156
Author(s):  
Chang Shu ◽  
Lin-Lin Li ◽  
Guoqing Li ◽  
Xi Chen ◽  
Hua Han
Keyword(s):  
Serial Section ◽  
Biological Tissues ◽  
Serial Sections ◽  
Extra Condition ◽  
Registration Method ◽  
Simultaneous Registration ◽  
Error Accumulation ◽  
Rigid Transformations ◽  
Short Time ◽  
Speed And Accuracy

In this paper, we propose a novel noniterative algorithm to simultaneously estimate optimal rigid transformations for serial section images, which is a key component in performing volume reconstructions of serial sections of biological tissue. To avoid the error accumulation and propagation caused by current algorithms, we add an extra condition: that the positions of the first and last section images should remain unchanged. This constrained simultaneous registration problem has not previously been solved. Our solution is noniterative; thus, it can simultaneously compute rigid transformations for a large number of serial section images in a short time. We demonstrate that our algorithm obtains optimal solutions under ideal conditions and shows great robustness under nonideal circumstances. Further, we experimentally show that our algorithm outperforms state-of-the-art methods in terms of speed and accuracy.

scholarly journals Non-rigid registration of serial section images by blending transforms for 3D reconstruction

2019 ◽  
Vol 96 ◽  
pp. 106956 ◽  
Author(s):  
Takehiro Kajihara ◽  
Takuya Funatomi ◽  
Haruyuki Makishima ◽  
Takahito Aoto ◽  
Hiroyuki Kubo ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Serial Section ◽  
Rigid Registration

Cell morphology, volume, and surface area determinations from multilevel contouring within HVEM micrographs of serial sections and whole-cell mounts

1987 ◽  
Vol 45 ◽  
pp. 588-589
Author(s):  
M. Marko ◽  
A. Leith ◽  
D. Parsons
Keyword(s):  
Surface Area ◽  
Electron Micrographs ◽  
Cell Morphology ◽  
Individual Variation ◽  
Serial Section ◽  
Stereo Pair ◽  
Complex Structures ◽  
Serial Sections ◽  
Surface Areas ◽  
Computer Based

The use of serial sections and computer-based 3-D reconstruction techniques affords an opportunity not only to visualize the shape and distribution of the structures being studied, but also to determine their volumes and surface areas. Up until now, this has been done using serial ultrathin sections.The serial-section approach differs from the stereo logical methods of Weibel in that it is based on the Information from a set of single, complete cells (or organelles) rather than on a random 2-dimensional sampling of a population of cells. Because of this, it can more easily provide absolute values of volume and surface area, especially for highly-complex structures. It also allows study of individual variation among the cells, and study of structures which occur only infrequently.We have developed a system for 3-D reconstruction of objects from stereo-pair electron micrographs of thick specimens.

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